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Mendeley readers
Chapter title |
Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis
|
---|---|
Chapter number | 25 |
Book title |
Advances in Machine Learning
|
Published in |
ADS, November 2009
|
DOI | 10.1007/978-3-642-05224-8_25 |
Book ISBNs |
978-3-64-205223-1, 978-3-64-205224-8
|
Authors |
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda, Saito, Kazumi, Kimura, Masahiro, Ohara, Kouzou, Motoda, Hiroshi |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
Iran, Islamic Republic of | 2 | 3% |
Switzerland | 1 | 2% |
France | 1 | 2% |
Spain | 1 | 2% |
Russia | 1 | 2% |
Unknown | 52 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 47% |
Student > Master | 7 | 12% |
Student > Doctoral Student | 5 | 8% |
Professor > Associate Professor | 4 | 7% |
Student > Bachelor | 3 | 5% |
Other | 10 | 17% |
Unknown | 3 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 34 | 57% |
Engineering | 8 | 13% |
Mathematics | 4 | 7% |
Business, Management and Accounting | 3 | 5% |
Social Sciences | 3 | 5% |
Other | 2 | 3% |
Unknown | 6 | 10% |